Meter monitoring & AI-assisted triage

Every estate has meters that have gone dark.
Yours shouldn't be a mystery.

MeterSense AI watches every meter you manage, around the clock — flags the ones that stop reporting, and helps your team fix the right fault first time.

0
Meters watched — one estate
0
Continuous monitoring
0
To live monitoring
Hardware to install
The problem

A silent meter costs more than a broken one.

A broken meter gets noticed. A silent one just stops — and nobody finds out until the bill is wrong, the report fails, or an engineer is sent to fix the wrong thing.

Cost / 01

Wasted callouts

Engineers dispatched to site for faults that could have been triaged and often fixed remotely.

Cost / 02

Broken data

Every silent day is a gap in your consumption record — corrupting billing, reporting and net-zero tracking.

Cost / 03

Manual checking

Hours spent eyeballing spreadsheets and portals to answer one question: is everything still reporting?

How it works

Live in weeks. No hardware. No disruption.

STEP 01

Connect, read-only

MeterSense AI connects to the meter data you already collect — with read-only access. Your systems stay untouched; your data stays yours. Access level: READ-ONLY · Nothing installed on site

STEP 02

Monitor everything

Every meter is watched continuously. The moment one stops reporting — or starts behaving strangely — it's flagged, graded by severity, and surfaced to your team. Detection window: MINUTES, not weeks

STEP 03

Triage and resolve

Each flagged meter comes with a likely cause and a recommended action — remote checks before callouts. Every resolution your team logs makes the next diagnosis sharper. Every fix logged: AUDIT-READY history per meter

Fault intelligence

Faults leave signatures. We read them.

A stuck sensor, a failed CT, a genuine power loss — each writes a different pattern into the readings. MeterSense AI analyses both cumulative consumption and live demand, so faults are told apart, not lumped together.

kVA demand — MTR-0421 · Site C ● live trace
Stuck sensor — flagged
Flatline

Demand frozen at one value while consumption barely moves — the signature of a stuck sensor or frozen logger.

Zero-drop

Demand reads zero while the cumulative register still climbs — the classic disagreement of a failed CT sensor.

Erratic

Spikes and impossible values — wiring or sensor faults that corrupt data long before the meter fully fails.

What the AI does today

Assisted triage. Every flagged meter gets a likely cause, a recommended action and a predicted resolution — expert guidance grounded in real metering behaviour, so your team acts on the right fault first time.

Confirm or correct each diagnosis in one click. Every resolution is logged and feeds the next one.

Live view

The screen your team starts the day on.

One place that answers "is everything still reporting?" — before anyone opens a spreadsheet.

MeterSense AI — estate overview ● representative data
988
Online
12
Flagged
91%
AI accuracy
£41,270
Est. value this year
Faults resolved — last 7 days
MONTUEWEDTHU FRISATSUN
Estate status
0%reporting
988 online
5 long-term
12 flagged
Built for

Estates where downtime isn't an option.

Sector

Defence & secure sites

Sector

Healthcare estates

Sector

Universities & campuses

Sector

Industrial & multi-site

Security & data

Designed for the strictest buyers first.

Read-only by design

MeterSense AI can never write to, change or control your systems. It reads meter data — nothing more.

Isolated per client

Your operational data lives in its own isolated environment. No pooling, no co-mingling with other organisations — ever.

UK-hosted

Hosted in the UK, with data processing agreements in place before any real data is touched.

Shared learning, opt-in only

Cross-estate intelligence uses de-identified fault patterns only — and the most sensitive environments can opt out entirely.

Get started

See your own estate on the dashboard — in under two weeks.

A live pilot on your real meters. No hardware, no obligation, no disruption.

Book a demo Or just ask a question